#3 of 15 AI agencies in Warsaw
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Sparkbit
Warsaw, Poland
About
Warsaw software house delivering machine-learning systems and R&D prototypes, with a research-heavy team drawn from Polish scientific universities. Works computer vision, time-series and retrieval problems alongside backend architecture.
Who They Work With
Early-stage product companies that need the ML core of their product built, tested and handed over with the IP.
Based on 5 client engagements with a source URL · researched 23 Sept 2026
Our Take
Sparkbit publishes ML case studies with the model, the metric and the handover spelled out: for 5x5 Technologies it retrained a YOLOv8 tower-equipment detector from F1 0.72 to 0.86 over a 12-month engagement on a telecom digital-twin platform, and for the New York health-tech startup phy it built a posture-analysis core covering 20+ conditions whose algorithms went into the client's FDA application.
The studies also show where work stopped: the anti-counterfeit label project ended after discovery when the findings argued against continuing, and the context-aware telematics system was a grant-funded R&D program whose hardware rollout, the study says, was held back by the supply chain.
Most dated AI work falls in 2020–2022; the LLM-era record is an anonymized RAG assistant over 7,000+ PDFs for a Swiss device manufacturer (2025), described as in production, and an Italist data-quality pipeline whose GPT-4 stack sits under a 2020–2022 label.
The weaker fit is buyers who need business outcomes measured in money or hours—results here are model metrics and qualitative gains—or a named reference for a recent LLM deployment.
Key strengths
- Model metrics are published with the stack: F1 0.72 to 0.86 at 5x5, about 0.85–0.95 F1 on key telematics perception functions, and ~8k concurrent users sustained with under 0.002% timeouts
- Five client executives are quoted by name and title—including 5x5 Technologies' CEO, Italist's CTO and Spicerr's CEO—four of them on the case study their quote refers to
- The services page lists what is handed over—repos, infrastructure-as-code, test suite, dashboards, runbooks and IP assignment—and the 5x5 study reports that handover took place
Good to know
- No founder or engineer is named anywhere on the site—ask who would lead your project and to see that person's prior ML work
- The Italist study lists GPT-4 while the index dates it 2020–2022 and files it under Health-tech—ask for the dates and scope of the LLM work specifically
- Outcomes such as "duplicates down" and "operational savings" carry no figures—ask each reference what the system changed in hours, cost or error rate
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 23 Sept 2026
Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.
Notable Clients
Every engagement documented in a published case study
Documented engagements: 5x5 Technologies, phy, Italist, Spicerr, and Altermobili. All 5 carry a source URL on file.
Services
Industries
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